Dataset statistics
| Number of variables | 18 |
|---|---|
| Number of observations | 1176 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 158.6 KiB |
| Average record size in memory | 138.1 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 8 |
YearsInCurrentRole is highly overall correlated with YearsSinceLastPromotion | High correlation |
YearsSinceLastPromotion is highly overall correlated with YearsInCurrentRole | High correlation |
EducationField_Life Sciences is highly overall correlated with EducationField_Medical | High correlation |
EducationField_Medical is highly overall correlated with EducationField_Life Sciences | High correlation |
EducationField_Marketing is highly imbalanced (51.4%) | Imbalance |
EducationField_Other is highly imbalanced (68.5%) | Imbalance |
EducationField_Technical Degree is highly imbalanced (56.6%) | Imbalance |
NumCompaniesWorked has 158 (13.4%) zeros | Zeros |
TrainingTimesLastYear has 41 (3.5%) zeros | Zeros |
YearsInCurrentRole has 193 (16.4%) zeros | Zeros |
YearsSinceLastPromotion has 459 (39.0%) zeros | Zeros |
Reproduction
| Analysis started | 2023-02-06 11:28:59.601898 |
|---|---|
| Analysis finished | 2023-02-06 11:29:59.608928 |
| Duration | 1 minute and 0.01 seconds |
| Software version | pandas-profiling v3.6.6 |
| Download configuration | config.json |
Age
Real number (ℝ)
| Distinct | 43 |
|---|---|
| Distinct (%) | 3.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.846088 |
| Minimum | 18 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 24 |
| Q1 | 30 |
| median | 35 |
| Q3 | 43 |
| 95-th percentile | 54 |
| Maximum | 60 |
| Range | 42 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.0386942 |
|---|---|
| Coefficient of variation (CV) | 0.24530946 |
| Kurtosis | -0.34525265 |
| Mean | 36.846088 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.42932542 |
| Sum | 43331 |
| Variance | 81.697993 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=43)
| Value | Count | Frequency (%) |
| 34 | 66 | 5.6% |
| 35 | 62 | 5.3% |
| 32 | 55 | 4.7% |
| 29 | 54 | 4.6% |
| 31 | 53 | 4.5% |
| 38 | 52 | 4.4% |
| 33 | 51 | 4.3% |
| 36 | 50 | 4.3% |
| 40 | 48 | 4.1% |
| 30 | 48 | 4.1% |
| Other values (33) | 637 |
| Value | Count | Frequency (%) |
| 18 | 6 | 0.5% |
| 19 | 6 | 0.5% |
| 20 | 9 | 0.8% |
| 21 | 11 | 0.9% |
| 22 | 13 | 1.1% |
| 23 | 13 | 1.1% |
| 24 | 21 | |
| 25 | 19 | |
| 26 | 30 | |
| 27 | 36 |
| Value | Count | Frequency (%) |
| 60 | 5 | 0.4% |
| 59 | 9 | |
| 58 | 10 | |
| 57 | 4 | 0.3% |
| 56 | 6 | 0.5% |
| 55 | 17 | |
| 54 | 14 | |
| 53 | 15 | |
| 52 | 15 | |
| 51 | 15 |
DailyRate
Real number (ℝ)
| Distinct | 791 |
|---|---|
| Distinct (%) | 67.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 802.04592 |
| Minimum | 103 |
|---|---|
| Maximum | 1499 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 103 |
|---|---|
| 5-th percentile | 169.5 |
| Q1 | 466.75 |
| median | 799.5 |
| Q3 | 1154 |
| 95-th percentile | 1418.5 |
| Maximum | 1499 |
| Range | 1396 |
| Interquartile range (IQR) | 687.25 |
Descriptive statistics
| Standard deviation | 401.1665 |
|---|---|
| Coefficient of variation (CV) | 0.50017897 |
| Kurtosis | -1.2022479 |
| Mean | 802.04592 |
| Median Absolute Deviation (MAD) | 343.5 |
| Skewness | 0.0065894886 |
| Sum | 943206 |
| Variance | 160934.56 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 691 | 6 | 0.5% |
| 329 | 5 | 0.4% |
| 530 | 5 | 0.4% |
| 267 | 4 | 0.3% |
| 589 | 4 | 0.3% |
| 465 | 4 | 0.3% |
| 408 | 4 | 0.3% |
| 430 | 4 | 0.3% |
| 921 | 4 | 0.3% |
| 1146 | 4 | 0.3% |
| Other values (781) | 1132 |
| Value | Count | Frequency (%) |
| 103 | 1 | 0.1% |
| 104 | 1 | 0.1% |
| 105 | 1 | 0.1% |
| 106 | 1 | 0.1% |
| 107 | 1 | 0.1% |
| 109 | 1 | 0.1% |
| 111 | 3 | |
| 115 | 1 | 0.1% |
| 116 | 2 | |
| 117 | 3 |
| Value | Count | Frequency (%) |
| 1499 | 1 | 0.1% |
| 1498 | 1 | 0.1% |
| 1496 | 2 | |
| 1495 | 3 | |
| 1492 | 1 | 0.1% |
| 1490 | 3 | |
| 1488 | 1 | 0.1% |
| 1485 | 1 | 0.1% |
| 1482 | 1 | 0.1% |
| 1480 | 2 |
DistanceFromHome
Real number (ℝ)
| Distinct | 29 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.2593537 |
| Minimum | 1 |
|---|---|
| Maximum | 29 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 7 |
| Q3 | 14 |
| 95-th percentile | 26 |
| Maximum | 29 |
| Range | 28 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 8.188622 |
|---|---|
| Coefficient of variation (CV) | 0.88436215 |
| Kurtosis | -0.27737605 |
| Mean | 9.2593537 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.94742099 |
| Sum | 10889 |
| Variance | 67.053529 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 2 | 170 | |
| 1 | 163 | |
| 10 | 70 | 6.0% |
| 3 | 70 | 6.0% |
| 7 | 69 | 5.9% |
| 9 | 61 | 5.2% |
| 8 | 59 | 5.0% |
| 4 | 53 | 4.5% |
| 5 | 51 | 4.3% |
| 6 | 51 | 4.3% |
| Other values (19) | 359 |
| Value | Count | Frequency (%) |
| 1 | 163 | |
| 2 | 170 | |
| 3 | 70 | |
| 4 | 53 | 4.5% |
| 5 | 51 | 4.3% |
| 6 | 51 | 4.3% |
| 7 | 69 | |
| 8 | 59 | 5.0% |
| 9 | 61 | 5.2% |
| 10 | 70 |
| Value | Count | Frequency (%) |
| 29 | 22 | |
| 28 | 20 | |
| 27 | 10 | |
| 26 | 21 | |
| 25 | 22 | |
| 24 | 21 | |
| 23 | 21 | |
| 22 | 15 | |
| 21 | 15 | |
| 20 | 23 |
HourlyRate
Real number (ℝ)
| Distinct | 71 |
|---|---|
| Distinct (%) | 6.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 66.235544 |
| Minimum | 30 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 33 |
| Q1 | 48 |
| median | 66 |
| Q3 | 84 |
| 95-th percentile | 97 |
| Maximum | 100 |
| Range | 70 |
| Interquartile range (IQR) | 36 |
Descriptive statistics
| Standard deviation | 20.459483 |
|---|---|
| Coefficient of variation (CV) | 0.30888978 |
| Kurtosis | -1.2119347 |
| Mean | 66.235544 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | -0.071664223 |
| Sum | 77893 |
| Variance | 418.59043 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 98 | 24 | 2.0% |
| 96 | 24 | 2.0% |
| 48 | 24 | 2.0% |
| 87 | 23 | 2.0% |
| 42 | 23 | 2.0% |
| 57 | 23 | 2.0% |
| 84 | 23 | 2.0% |
| 54 | 22 | 1.9% |
| 79 | 21 | 1.8% |
| 73 | 20 | 1.7% |
| Other values (61) | 949 |
| Value | Count | Frequency (%) |
| 30 | 17 | |
| 31 | 12 | |
| 32 | 18 | |
| 33 | 15 | |
| 34 | 9 | |
| 35 | 16 | |
| 36 | 15 | |
| 37 | 15 | |
| 38 | 11 | |
| 39 | 15 |
| Value | Count | Frequency (%) |
| 100 | 16 | |
| 99 | 13 | |
| 98 | 24 | |
| 97 | 16 | |
| 96 | 24 | |
| 95 | 17 | |
| 94 | 18 | |
| 93 | 15 | |
| 92 | 20 | |
| 91 | 17 |
MonthlyIncome
Real number (ℝ)
| Distinct | 1090 |
|---|---|
| Distinct (%) | 92.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6525.2526 |
| Minimum | 1009 |
|---|---|
| Maximum | 19999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 1009 |
|---|---|
| 5-th percentile | 2098.5 |
| Q1 | 2900.25 |
| median | 4938.5 |
| Q3 | 8480.5 |
| 95-th percentile | 17798.25 |
| Maximum | 19999 |
| Range | 18990 |
| Interquartile range (IQR) | 5580.25 |
Descriptive statistics
| Standard deviation | 4726.3655 |
|---|---|
| Coefficient of variation (CV) | 0.72431917 |
| Kurtosis | 0.98919581 |
| Mean | 6525.2526 |
| Median Absolute Deviation (MAD) | 2221.5 |
| Skewness | 1.3685422 |
| Sum | 7673697 |
| Variance | 22338531 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2342 | 4 | 0.3% |
| 3452 | 3 | 0.3% |
| 5562 | 3 | 0.3% |
| 6347 | 3 | 0.3% |
| 2451 | 3 | 0.3% |
| 2886 | 2 | 0.2% |
| 5238 | 2 | 0.2% |
| 2564 | 2 | 0.2% |
| 2028 | 2 | 0.2% |
| 2693 | 2 | 0.2% |
| Other values (1080) | 1150 |
| Value | Count | Frequency (%) |
| 1009 | 1 | |
| 1052 | 1 | |
| 1129 | 1 | |
| 1200 | 1 | |
| 1223 | 1 | |
| 1232 | 1 | |
| 1359 | 1 | |
| 1393 | 1 | |
| 1416 | 1 | |
| 1420 | 1 |
| Value | Count | Frequency (%) |
| 19999 | 1 | |
| 19973 | 1 | |
| 19926 | 1 | |
| 19859 | 1 | |
| 19845 | 1 | |
| 19833 | 1 | |
| 19740 | 1 | |
| 19717 | 1 | |
| 19701 | 1 | |
| 19665 | 1 |
MonthlyRate
Real number (ℝ)
| Distinct | 1147 |
|---|---|
| Distinct (%) | 97.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14372.792 |
| Minimum | 2097 |
|---|---|
| Maximum | 26999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 2097 |
|---|---|
| 5-th percentile | 3440.5 |
| Q1 | 8222 |
| median | 14379.5 |
| Q3 | 20444.25 |
| 95-th percentile | 25426.5 |
| Maximum | 26999 |
| Range | 24902 |
| Interquartile range (IQR) | 12222.25 |
Descriptive statistics
| Standard deviation | 7072.7447 |
|---|---|
| Coefficient of variation (CV) | 0.49209262 |
| Kurtosis | -1.2040512 |
| Mean | 14372.792 |
| Median Absolute Deviation (MAD) | 6085 |
| Skewness | 0.018691872 |
| Sum | 16902403 |
| Variance | 50023717 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 9150 | 3 | 0.3% |
| 15318 | 2 | 0.2% |
| 11591 | 2 | 0.2% |
| 12355 | 2 | 0.2% |
| 20364 | 2 | 0.2% |
| 4156 | 2 | 0.2% |
| 11162 | 2 | 0.2% |
| 9096 | 2 | 0.2% |
| 25326 | 2 | 0.2% |
| 23016 | 2 | 0.2% |
| Other values (1137) | 1155 |
| Value | Count | Frequency (%) |
| 2097 | 1 | |
| 2104 | 1 | |
| 2112 | 1 | |
| 2122 | 1 | |
| 2125 | 2 | |
| 2137 | 1 | |
| 2261 | 1 | |
| 2323 | 1 | |
| 2326 | 1 | |
| 2338 | 1 |
| Value | Count | Frequency (%) |
| 26999 | 1 | |
| 26997 | 1 | |
| 26968 | 1 | |
| 26956 | 1 | |
| 26933 | 1 | |
| 26914 | 1 | |
| 26897 | 1 | |
| 26849 | 1 | |
| 26841 | 1 | |
| 26820 | 1 |
NumCompaniesWorked
Real number (ℝ)
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.6879252 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 158 |
| Zeros (%) | 13.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.4744599 |
|---|---|
| Coefficient of variation (CV) | 0.92058364 |
| Kurtosis | 0.025929728 |
| Mean | 2.6879252 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.0237581 |
| Sum | 3161 |
| Variance | 6.1229519 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 406 | |
| 0 | 158 | 13.4% |
| 3 | 138 | 11.7% |
| 2 | 124 | 10.5% |
| 4 | 105 | 8.9% |
| 6 | 61 | 5.2% |
| 7 | 56 | 4.8% |
| 5 | 49 | 4.2% |
| 8 | 41 | 3.5% |
| 9 | 38 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 158 | 13.4% |
| 1 | 406 | |
| 2 | 124 | 10.5% |
| 3 | 138 | 11.7% |
| 4 | 105 | 8.9% |
| 5 | 49 | 4.2% |
| 6 | 61 | 5.2% |
| 7 | 56 | 4.8% |
| 8 | 41 | 3.5% |
| 9 | 38 | 3.2% |
| Value | Count | Frequency (%) |
| 9 | 38 | 3.2% |
| 8 | 41 | 3.5% |
| 7 | 56 | 4.8% |
| 6 | 61 | 5.2% |
| 5 | 49 | 4.2% |
| 4 | 105 | 8.9% |
| 3 | 138 | 11.7% |
| 2 | 124 | 10.5% |
| 1 | 406 | |
| 0 | 158 | 13.4% |
PerformanceRating
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 3 | |
|---|---|
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 4 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 995 | |
| 4 | 181 | 15.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 3 | 995 | |
| 4 | 181 | 15.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 995 | |
| 4 | 181 | 15.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 995 | |
| 4 | 181 | 15.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 995 | |
| 4 | 181 | 15.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 995 | |
| 4 | 181 | 15.4% |
TrainingTimesLastYear
Real number (ℝ)
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.7857143 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 41 |
| Zeros (%) | 3.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.2716215 |
|---|---|
| Coefficient of variation (CV) | 0.45647952 |
| Kurtosis | 0.61951249 |
| Mean | 2.7857143 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.60324086 |
| Sum | 3276 |
| Variance | 1.6170213 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 450 | |
| 3 | 395 | |
| 4 | 95 | 8.1% |
| 5 | 89 | 7.6% |
| 1 | 54 | 4.6% |
| 6 | 52 | 4.4% |
| 0 | 41 | 3.5% |
| Value | Count | Frequency (%) |
| 0 | 41 | 3.5% |
| 1 | 54 | 4.6% |
| 2 | 450 | |
| 3 | 395 | |
| 4 | 95 | 8.1% |
| 5 | 89 | 7.6% |
| 6 | 52 | 4.4% |
| Value | Count | Frequency (%) |
| 6 | 52 | 4.4% |
| 5 | 89 | 7.6% |
| 4 | 95 | 8.1% |
| 3 | 395 | |
| 2 | 450 | |
| 1 | 54 | 4.6% |
| 0 | 41 | 3.5% |
WorkLifeBalance
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 66 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 4 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 711 | |
| 2 | 274 | 23.3% |
| 4 | 125 | 10.6% |
| 1 | 66 | 5.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 3 | 711 | |
| 2 | 274 | 23.3% |
| 4 | 125 | 10.6% |
| 1 | 66 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 711 | |
| 2 | 274 | 23.3% |
| 4 | 125 | 10.6% |
| 1 | 66 | 5.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 711 | |
| 2 | 274 | 23.3% |
| 4 | 125 | 10.6% |
| 1 | 66 | 5.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 711 | |
| 2 | 274 | 23.3% |
| 4 | 125 | 10.6% |
| 1 | 66 | 5.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 711 | |
| 2 | 274 | 23.3% |
| 4 | 125 | 10.6% |
| 1 | 66 | 5.6% |
YearsInCurrentRole
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 19 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.2355442 |
| Minimum | 0 |
|---|---|
| Maximum | 18 |
| Zeros | 193 |
| Zeros (%) | 16.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 18 |
| Range | 18 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.6474129 |
|---|---|
| Coefficient of variation (CV) | 0.86114385 |
| Kurtosis | 0.5713178 |
| Mean | 4.2355442 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.94752544 |
| Sum | 4981 |
| Variance | 13.303621 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 2 | 296 | |
| 0 | 193 | |
| 7 | 178 | |
| 3 | 106 | 9.0% |
| 4 | 89 | 7.6% |
| 8 | 71 | 6.0% |
| 9 | 50 | 4.3% |
| 1 | 50 | 4.3% |
| 6 | 28 | 2.4% |
| 5 | 26 | 2.2% |
| Other values (9) | 89 | 7.6% |
| Value | Count | Frequency (%) |
| 0 | 193 | |
| 1 | 50 | 4.3% |
| 2 | 296 | |
| 3 | 106 | 9.0% |
| 4 | 89 | 7.6% |
| 5 | 26 | 2.2% |
| 6 | 28 | 2.4% |
| 7 | 178 | |
| 8 | 71 | 6.0% |
| 9 | 50 | 4.3% |
| Value | Count | Frequency (%) |
| 18 | 2 | 0.2% |
| 17 | 4 | 0.3% |
| 16 | 6 | 0.5% |
| 15 | 6 | 0.5% |
| 14 | 9 | 0.8% |
| 13 | 11 | 0.9% |
| 12 | 8 | 0.7% |
| 11 | 18 | 1.5% |
| 10 | 25 | |
| 9 | 50 |
YearsSinceLastPromotion
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 16 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.172619 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 459 |
| Zeros (%) | 39.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 18.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 9 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.1773076 |
|---|---|
| Coefficient of variation (CV) | 1.462432 |
| Kurtosis | 3.7117997 |
| Mean | 2.172619 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.9887353 |
| Sum | 2555 |
| Variance | 10.095284 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 0 | 459 | |
| 1 | 291 | |
| 2 | 130 | 11.1% |
| 7 | 59 | 5.0% |
| 4 | 51 | 4.3% |
| 3 | 38 | 3.2% |
| 5 | 36 | 3.1% |
| 6 | 27 | 2.3% |
| 11 | 18 | 1.5% |
| 8 | 17 | 1.4% |
| Other values (6) | 50 | 4.3% |
| Value | Count | Frequency (%) |
| 0 | 459 | |
| 1 | 291 | |
| 2 | 130 | 11.1% |
| 3 | 38 | 3.2% |
| 4 | 51 | 4.3% |
| 5 | 36 | 3.1% |
| 6 | 27 | 2.3% |
| 7 | 59 | 5.0% |
| 8 | 17 | 1.4% |
| 9 | 15 | 1.3% |
| Value | Count | Frequency (%) |
| 15 | 11 | 0.9% |
| 14 | 7 | 0.6% |
| 13 | 5 | 0.4% |
| 12 | 7 | 0.6% |
| 11 | 18 | 1.5% |
| 10 | 5 | 0.4% |
| 9 | 15 | 1.3% |
| 8 | 17 | 1.4% |
| 7 | 59 | |
| 6 | 27 |
Attrition_1
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 997 | |
| 1 | 179 | 15.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 997 | |
| 1 | 179 | 15.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 997 | |
| 1 | 179 | 15.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 997 | |
| 1 | 179 | 15.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 997 | |
| 1 | 179 | 15.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 997 | |
| 1 | 179 | 15.2% |
EducationField_Life Sciences
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 488 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 488 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 488 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 488 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 488 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 688 | |
| 1 | 488 |
EducationField_Marketing
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1052 | |
| 1 | 124 | 10.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 1052 | |
| 1 | 124 | 10.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1052 | |
| 1 | 124 | 10.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1052 | |
| 1 | 124 | 10.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1052 | |
| 1 | 124 | 10.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1052 | |
| 1 | 124 | 10.5% |
EducationField_Medical
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 802 | |
| 1 | 374 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 802 | |
| 1 | 374 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 802 | |
| 1 | 374 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 802 | |
| 1 | 374 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 802 | |
| 1 | 374 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 802 | |
| 1 | 374 |
EducationField_Other
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 0 | |
|---|---|
| 1 | 67 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1109 | |
| 1 | 67 | 5.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 1109 | |
| 1 | 67 | 5.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1109 | |
| 1 | 67 | 5.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1109 | |
| 1 | 67 | 5.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1109 | |
| 1 | 67 | 5.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1109 | |
| 1 | 67 | 5.7% |
EducationField_Technical Degree
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 18.4 KiB |
| 0 | |
|---|---|
| 1 | 105 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1176 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1071 | |
| 1 | 105 | 8.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 1071 | |
| 1 | 105 | 8.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1071 | |
| 1 | 105 | 8.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1176 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1071 | |
| 1 | 105 | 8.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1176 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1071 | |
| 1 | 105 | 8.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1176 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1071 | |
| 1 | 105 | 8.9% |
| Age | DailyRate | DistanceFromHome | HourlyRate | MonthlyIncome | MonthlyRate | NumCompaniesWorked | TrainingTimesLastYear | YearsInCurrentRole | YearsSinceLastPromotion | PerformanceRating | WorkLifeBalance | Attrition_1 | EducationField_Life Sciences | EducationField_Marketing | EducationField_Medical | EducationField_Other | EducationField_Technical Degree | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.017 | -0.025 | 0.056 | 0.468 | 0.003 | 0.360 | 0.003 | 0.185 | 0.155 | 0.000 | 0.024 | 0.218 | 0.000 | 0.000 | 0.000 | 0.056 | 0.040 |
| DailyRate | 0.017 | 1.000 | -0.002 | 0.028 | 0.030 | -0.020 | 0.049 | -0.013 | 0.008 | -0.019 | 0.000 | 0.037 | 0.066 | 0.000 | 0.056 | 0.000 | 0.000 | 0.085 |
| DistanceFromHome | -0.025 | -0.002 | 1.000 | 0.014 | 0.014 | 0.042 | -0.014 | -0.031 | 0.014 | -0.001 | 0.087 | 0.000 | 0.052 | 0.000 | 0.042 | 0.000 | 0.000 | 0.070 |
| HourlyRate | 0.056 | 0.028 | 0.014 | 1.000 | -0.002 | -0.019 | 0.044 | -0.001 | -0.033 | -0.049 | 0.000 | 0.000 | 0.066 | 0.063 | 0.094 | 0.000 | 0.034 | 0.045 |
| MonthlyIncome | 0.468 | 0.030 | 0.014 | -0.002 | 1.000 | 0.044 | 0.201 | -0.025 | 0.387 | 0.275 | 0.029 | 0.000 | 0.195 | 0.000 | 0.131 | 0.035 | 0.041 | 0.031 |
| MonthlyRate | 0.003 | -0.020 | 0.042 | -0.019 | 0.044 | 1.000 | -0.014 | -0.014 | -0.012 | -0.009 | 0.000 | 0.000 | 0.000 | 0.045 | 0.000 | 0.000 | 0.051 | 0.000 |
| NumCompaniesWorked | 0.360 | 0.049 | -0.014 | 0.044 | 0.201 | -0.014 | 1.000 | -0.028 | -0.125 | -0.051 | 0.000 | 0.040 | 0.080 | 0.107 | 0.070 | 0.068 | 0.034 | 0.000 |
| TrainingTimesLastYear | 0.003 | -0.013 | -0.031 | -0.001 | -0.025 | -0.014 | -0.028 | 1.000 | -0.006 | 0.005 | 0.000 | 0.000 | 0.073 | 0.051 | 0.073 | 0.124 | 0.000 | 0.034 |
| YearsInCurrentRole | 0.185 | 0.008 | 0.014 | -0.033 | 0.387 | -0.012 | -0.125 | -0.006 | 1.000 | 0.507 | 0.059 | 0.028 | 0.167 | 0.000 | 0.048 | 0.000 | 0.000 | 0.000 |
| YearsSinceLastPromotion | 0.155 | -0.019 | -0.001 | -0.049 | 0.275 | -0.009 | -0.051 | 0.005 | 0.507 | 1.000 | 0.000 | 0.000 | 0.019 | 0.000 | 0.015 | 0.000 | 0.000 | 0.000 |
| PerformanceRating | 0.000 | 0.000 | 0.087 | 0.000 | 0.029 | 0.000 | 0.000 | 0.000 | 0.059 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| WorkLifeBalance | 0.024 | 0.037 | 0.000 | 0.000 | 0.000 | 0.000 | 0.040 | 0.000 | 0.028 | 0.000 | 0.000 | 1.000 | 0.119 | 0.060 | 0.000 | 0.028 | 0.023 | 0.031 |
| Attrition_1 | 0.218 | 0.066 | 0.052 | 0.066 | 0.195 | 0.000 | 0.080 | 0.073 | 0.167 | 0.019 | 0.000 | 0.119 | 1.000 | 0.000 | 0.042 | 0.024 | 0.000 | 0.055 |
| EducationField_Life Sciences | 0.000 | 0.000 | 0.000 | 0.063 | 0.000 | 0.045 | 0.107 | 0.051 | 0.000 | 0.000 | 0.000 | 0.060 | 0.000 | 1.000 | 0.285 | 0.573 | 0.201 | 0.259 |
| EducationField_Marketing | 0.000 | 0.056 | 0.042 | 0.094 | 0.131 | 0.000 | 0.070 | 0.073 | 0.048 | 0.015 | 0.000 | 0.000 | 0.042 | 0.285 | 1.000 | 0.230 | 0.073 | 0.098 |
| EducationField_Medical | 0.000 | 0.000 | 0.000 | 0.000 | 0.035 | 0.000 | 0.068 | 0.124 | 0.000 | 0.000 | 0.000 | 0.028 | 0.024 | 0.573 | 0.230 | 1.000 | 0.161 | 0.209 |
| EducationField_Other | 0.056 | 0.000 | 0.000 | 0.034 | 0.041 | 0.051 | 0.034 | 0.000 | 0.000 | 0.000 | 0.000 | 0.023 | 0.000 | 0.201 | 0.073 | 0.161 | 1.000 | 0.064 |
| EducationField_Technical Degree | 0.040 | 0.085 | 0.070 | 0.045 | 0.031 | 0.000 | 0.000 | 0.034 | 0.000 | 0.000 | 0.000 | 0.031 | 0.055 | 0.259 | 0.098 | 0.209 | 0.064 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Age | DailyRate | DistanceFromHome | HourlyRate | MonthlyIncome | MonthlyRate | NumCompaniesWorked | PerformanceRating | TrainingTimesLastYear | WorkLifeBalance | YearsInCurrentRole | YearsSinceLastPromotion | Attrition_1 | EducationField_Life Sciences | EducationField_Marketing | EducationField_Medical | EducationField_Other | EducationField_Technical Degree | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 638 | 25 | 583 | 4 | 87 | 4256 | 18154 | 1 | 3 | 1 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 1356 | 41 | 337 | 8 | 54 | 4393 | 26841 | 5 | 4 | 3 | 3 | 4 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 494 | 34 | 204 | 14 | 31 | 2579 | 2912 | 1 | 3 | 3 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 1056 | 28 | 1496 | 1 | 92 | 2909 | 15747 | 3 | 3 | 3 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 1 |
| 805 | 45 | 1050 | 9 | 65 | 5593 | 17970 | 1 | 3 | 2 | 3 | 10 | 4 | 0 | 1 | 0 | 0 | 0 | 0 |
| 500 | 32 | 646 | 9 | 92 | 6322 | 18089 | 1 | 3 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| 1176 | 49 | 301 | 22 | 72 | 16413 | 3498 | 3 | 3 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| 614 | 26 | 887 | 5 | 88 | 2366 | 20898 | 1 | 3 | 2 | 3 | 7 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
| 1251 | 30 | 979 | 15 | 94 | 7140 | 3088 | 2 | 3 | 2 | 3 | 7 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 1426 | 32 | 267 | 29 | 49 | 2837 | 15919 | 1 | 3 | 3 | 3 | 2 | 4 | 0 | 1 | 0 | 0 | 0 | 0 |
| Age | DailyRate | DistanceFromHome | HourlyRate | MonthlyIncome | MonthlyRate | NumCompaniesWorked | PerformanceRating | TrainingTimesLastYear | WorkLifeBalance | YearsInCurrentRole | YearsSinceLastPromotion | Attrition_1 | EducationField_Life Sciences | EducationField_Marketing | EducationField_Medical | EducationField_Other | EducationField_Technical Degree | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1055 | 34 | 829 | 15 | 71 | 17007 | 11929 | 7 | 3 | 3 | 2 | 8 | 6 | 0 | 0 | 0 | 1 | 0 | 0 |
| 545 | 30 | 501 | 27 | 99 | 5304 | 25275 | 7 | 4 | 2 | 2 | 7 | 7 | 0 | 0 | 1 | 0 | 0 | 0 |
| 181 | 34 | 629 | 27 | 95 | 2311 | 5711 | 2 | 3 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| 1464 | 26 | 1167 | 5 | 30 | 2966 | 21378 | 0 | 3 | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 1377 | 49 | 1064 | 2 | 42 | 19161 | 13738 | 3 | 3 | 3 | 3 | 4 | 4 | 0 | 1 | 0 | 0 | 0 | 0 |
| 353 | 37 | 1319 | 6 | 51 | 5974 | 17001 | 4 | 3 | 2 | 3 | 7 | 6 | 0 | 0 | 0 | 1 | 0 | 0 |
| 1166 | 48 | 365 | 4 | 89 | 15202 | 5602 | 2 | 4 | 3 | 3 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 |
| 108 | 25 | 1280 | 7 | 64 | 2889 | 26897 | 1 | 3 | 2 | 3 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 |
| 983 | 34 | 404 | 2 | 98 | 6687 | 6163 | 1 | 3 | 2 | 4 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 1 |
| 830 | 41 | 167 | 12 | 46 | 4766 | 9051 | 3 | 3 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |